• 🎓 Passionate about Data Science & Machine Learning
• 🐍 Skilled in Python, Pandas, NumPy
• 🗄️ Practicing SQL on LeetCode
• 📊 Exploring Statistics & Hypothesis Testing
• Participated in MLH hackathon - data week
• 🤝 Excited to contribute to GSoC & MLH Fellowship

📊 House Price EDA – Exploratory Data Analysis on Housing Dataset
🗄️ SQL Practice – Solved SQL queries with proper structure
📈 Hypothesis Testing – Z-test, T-test, Chi-Square examples with datasets

HR Attrition and Analysis - SQL, Buisness Insights

Swiggy Sentiment Analysis - Seaborn , Matplotlib , Rating and Reviews

• 📌 Advanced SQL queries (joins, subqueries, window functions)
• 📌 Statistics for Data Science (Chi-Square, t-test, p-values)
• 📌 Machine Learning basics (Regression, Classification)

✅ Build 3–4 strong Data Science projects
✅ Consistent GitHub commits every week
✅ Contribute to Open Source (GSoC/MLH)
✅ Apply for MLH Fellowship 2025

✨ “Code. Analyze. Contribute. Grow.” ✨